Open 0-60 Acceleration Dataset

This is an open dataset of 736 real 0-60 mph runs timed by FastTrack users between 2026-04-21 and 2026-09-06. Unlike published 0-60 figures, which come from professional drivers on prepared surfaces, every number here was recorded by an owner driving their own car. We report best, median, and 90th-percentile times alongside the sample size for each group, so you can see the spread rather than a single headline figure.

This page is the raw data. For how these measured times compare against manufacturer-claimed 0-60 figures, car by car, read Real-World 0-60 Times: Measured vs. Claimed.

Free to download and reuse under CC BY 4.0. Download the full CSV.

0-60 mph by model

Models with at least 5 valid runs, ordered by sample size.

VehicleRunsBest 0-60Median 0-60
BMW M340i533.39s3.77s
Audi A3354.76s5.78s
Honda Accord345.82s7.89s
Audi A4264.97s6.78s
Ford Mustang245.05s6.96s
Volkswagen ID 4195.56s5.95s
Ford F-150194.47s6.58s
Volkswagen Jetta Gli184.80s6.08s
Honda Civic186.57s9.79s
Toyota Supra183.63s5.80s
Volkswagen Jetta188.87s9.53s
Genesis 4.6165.95s6.79s
Infiniti Q50155.13s6.95s
Audi S4134.57s5.25s
Ford Mustang Mach-E136.02s6.83s
BMW X6 M50i123.69s3.95s
Dodge Charger114.19s4.65s
Mercedes-Benz C43 AMG104.11s4.39s
Tesla Model 3103.21s4.32s
Chevrolet Camaro105.41s8.00s
BMW M240i82.76s4.62s
Alfa Romeo Giulia (952)84.73s6.77s
Volvo S60 T6 R-Design Polestar76.01s7.16s
Ford Explorer74.04s5.77s
Vw Atlas Cross Sort76.67s8.41s
Mazda Cx-3076.17s6.95s
GMC Sierra65.39s8.37s
Hyundai Genesis67.62s8.83s
Audi S363.75s4.19s
BMW 330i64.75s5.50s
Ford Ranger Raptor 3.0 V665.89s6.25s
BMW M253.29s3.97s
BMW 5 Series54.58s4.95s
Ford F15053.99s8.01s
Hyundai Kona510.85s12.28s
BMW 328i56.82s9.10s
BMW X353.25s4.72s
Jeep 4xe56.01s6.85s

0-60 mph by make

Makes with at least 8 valid runs. The 90th-percentile column shows the slow tail.

MakeRunsBest 0-60Median 0-6090th pct
BMW1372.76s4.57s7.02s
Ford943.99s7.02s10.32s
Audi913.75s5.79s7.93s
Volkswagen634.80s6.25s9.69s
Honda615.82s8.05s10.31s
Chevrolet293.28s9.13s12.18s
Toyota263.63s6.45s14.96s
Dodge254.19s5.76s8.11s
Mercedes-Benz224.11s5.64s14.61s
Infiniti195.13s7.13s9.95s
Genesis185.33s6.76s7.49s
Hyundai136.71s9.43s14.16s
Mazda126.17s7.07s7.56s
Tesla123.21s4.53s5.45s
GMC95.39s9.54s14.63s
Alfa Romeo94.73s6.39s7.79s
Kia94.20s8.96s11.38s

Methodology

Every run was timed by the FastTrack app, which fuses GPS Doppler velocity with the phone's 100 Hz accelerometer through a Kalman-style estimator and then refines the result with a backward smoothing pass. Launch is detected from the accelerometer at roughly 30 ms rather than from GPS speed crossing zero. See how FastTrack measures accuracy for the full explanation.

Runs are excluded if they are marked invalid by the automatic sanity checker, flagged by an admin, deleted by their owner, set to private, or predate the 2026-04-21 validator rewrite. These are the same integrity gates the public leaderboards use, so a run hidden from the leaderboard never appears here.

Groups are published only above a minimum sample size — 5 runs for a model, 8 for a make — because a median drawn from two runs is noise. Times are aggregated per make/model, not per vehicle, so a single heavily-logged car can influence its group's median; sample sizes are shown so you can judge that yourself.

The dataset is aggregate-only by construction. It contains no usernames, user IDs, vehicle IDs, run IDs, locations, or timestamps — only grouped statistics.

How to cite this dataset

FastTrack. "Open 0-60 Acceleration Dataset." 736 GPS-timed runs, 2026-04-21 to 2026-09-06. Retrieved from https://fasttrackapp.biz/data/0-60-open-dataset

Licensed under CC BY 4.0. Attribution with a link to this page is all we ask.

Frequently asked questions

How is this dataset different from published 0-60 times?

Manufacturer and magazine 0-60 figures come from professional drivers on prepared surfaces in ideal conditions. Every number here was measured by an ordinary owner driving their own car, so the medians reflect what the car actually does in real conditions rather than what it can do at its best. That is why the median is often more than a second slower than the published figure, while the best column lands much closer to it.

How were these times measured?

Each run was timed by the FastTrack app on an iPhone or Android phone, fusing GPS Doppler velocity (sampled about once per second) with the phone's 100 Hz accelerometer through a Kalman-style estimator, then refined with a backward smoothing pass. Launch is detected from the accelerometer at roughly 30 ms rather than from GPS speed. Controlled comparisons put the result within about 0.02 s of a dedicated GPS meter.

Why do some cars show a median far slower than the best time?

Because these are real runs, not test sessions. A single owner may log a full-throttle pull, a half-throttle merge, and a cold-tire attempt on the same day. The best column shows the car's demonstrated potential; the median shows typical logged behavior. Both are reported so neither is mistaken for the other.

Can I use this data?

Yes. The dataset is published under CC BY 4.0 and the full CSV is a free download with no signup. Attribute it to FastTrack with a link to this page.

How often is it updated?

The dataset regenerates on every site deploy directly from the run database, so the figures here track the live leaderboard rather than a periodic snapshot.